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 Terms and Conditions of Salim Wireless


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The reproduction, distribution in any method whether online or offline is strictly not prohibited. The work on the website and the images, logos, text and other such information is not the property of https://www.salimwireless.com ( unless otherwise stated ).


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Though we strive to be completely accurate in the information that is presented on our site and attempt to keep it as up to date as possible, in some cases, some of the information you find on the website may be slightly outdated.


Salim Wireless reserves the right to make any modifications or corrections to the information you find on the website at any time without notice.


Change to the Terms and Conditions of Use


We reserve the right to make changes and to revise the above-mentioned Terms and Conditions of use.


Last Revised: 21-05-2022
📊 MATLAB & ONLINE SIMULATIONS
🎓 GATE SOLUTIONS
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Q-function in BER vs SNR Calculation

Q-function in BER vs. SNR Calculation In digital communications and signal processing, the Q-function plays a significant role in predicting system reliability. It allows engineers to quantify the probability that Gaussian noise will exceed a specific threshold, causing a bit error. What is the Q-function? The Q-function is a mathematical function representing the tail probability of the standard normal (Gaussian) distribution. It is the complementary cumulative distribution function (CCDF) of a standard Gaussian distribution. Q(x) = (1 / √(2Ï€)) ∫â‚“∞ e^(-t² / 2) dt Q-Function Interactive Simulator Move the slider to see how the "Tail Probability" (the area in red) changes. This area represents the Probability of Error (BER) . Threshold Distance ( x ) — (Simulates Increasing SNR) x = 1.0 Q(x) = 0.1587 ...
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BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

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RMS Delay Spread, Excess Delay Spread and Multi-path ...(with MATLAB + Simulator)

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OFDM Symbols and Subcarriers Explained

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